引导跳眼运动的低分辨率线索

M. Swain, R. E. Kahn, D. Ballard
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引用次数: 18

摘要

人眼的高分辨率视野只覆盖了整个视野的一小部分,这使得计算资源大大节省,但却迫使视觉系统解决其他问题,这些问题在统一的高分辨率下是不存在的。其中之一是如何在只给定外围低分辨率信息的情况下确定将中央凹重定向到哪里。相机空间可变受体阵列的出现,使得找到这个问题的计算解决方案势在必行。传统上,颜色与中央焦视觉有关,但研究表明,在低分辨率下,颜色线索能很好地保存下来,本文给出了一种在低分辨率下有效且计算效率高的基于颜色直方图的物体定位算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low resolution cues for guiding saccadic eye movements
The high-resolution field of view of the human eye only covers a tiny fraction of the total field of view, which allows for great economy in computational resources but forces the visual system to solve other problems that would not exist with uniformly high resolution. One of these is how to determine where to redirect the fovea, given only the low-resolution information available in the periphery. The advent of spatially variant receptor arrays for cameras has made it imperative that computational solutions to this problem be found. Color has been traditionally associated with foveal vision, but it is shown that color cues are well preserved under low resolution, and an algorithm for locating objects based on color histograms that is both effective under low resolution and computationally efficient is illustrated.<>
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